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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces the main concepts behind neural networks, from their goal to mimic the brain's computation to the structure of biological neurons. It covers the Leaky-Integrator Neuron model, the Perceptron, activation functions, and the Perceptron training algorithm. The lecture also discusses the effect of noise on generalization and the implementation of multi-class classifiers.